In view of the nonlinearity and parameter time-varying uncertainty of vehicle dynamics, a novel algorithm, i. e. single neural adaptive PID control strategy, is propsed for vehicle direction control.
针对汽车方向动力学控制存在的非线性和参数时变不确定性问题，提出了一种新的基于单神经元的汽车方向自适应pid控制算法。
The key techniques of hydraulic bulldozer travelling control are introduced. The control strategies and algorithms of direction and velocity control, and power self-adaptive control are developed.
介绍了全液压推土机行走控制的关键技术，重点给出了行走方向与速度控制及功率自适应控制等主要环节的控制策略和控制方法。
The second is Single Neural Adaptive PID Control which is adopted to realize coordinative control of two motors running for elevating motion in direction Z.
针对Z 向升降运动二级传动机构的协调控制问题，提出了摆线方程的机构运动切换策略和单神经元自适应PID 控制方法。
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